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FEAT: NEW WORKFLOW ENGINE (#3160)
Co-authored-by: Joel <iamjoel007@gmail.com> Co-authored-by: Yeuoly <admin@srmxy.cn> Co-authored-by: JzoNg <jzongcode@gmail.com> Co-authored-by: StyleZhang <jasonapring2015@outlook.com> Co-authored-by: jyong <jyong@dify.ai> Co-authored-by: nite-knite <nkCoding@gmail.com> Co-authored-by: jyong <718720800@qq.com>
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@@ -5,6 +5,7 @@ from werkzeug.datastructures import FileStorage
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from core.model_manager import ModelManager
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from core.model_runtime.entities.model_entities import ModelType
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from models.model import App, AppMode, AppModelConfig
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from services.errors.audio import (
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AudioTooLargeServiceError,
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NoAudioUploadedServiceError,
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@@ -20,7 +21,21 @@ ALLOWED_EXTENSIONS = ['mp3', 'mp4', 'mpeg', 'mpga', 'm4a', 'wav', 'webm', 'amr']
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class AudioService:
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@classmethod
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def transcript_asr(cls, tenant_id: str, file: FileStorage, end_user: Optional[str] = None):
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def transcript_asr(cls, app_model: App, file: FileStorage, end_user: Optional[str] = None):
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if app_model.mode in [AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value]:
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workflow = app_model.workflow
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if workflow is None:
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raise ValueError("Speech to text is not enabled")
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features_dict = workflow.features_dict
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if 'speech_to_text' not in features_dict or not features_dict['speech_to_text'].get('enabled'):
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raise ValueError("Speech to text is not enabled")
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else:
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app_model_config: AppModelConfig = app_model.app_model_config
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if not app_model_config.speech_to_text_dict['enabled']:
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raise ValueError("Speech to text is not enabled")
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if file is None:
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raise NoAudioUploadedServiceError()
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@@ -37,7 +52,7 @@ class AudioService:
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model_manager = ModelManager()
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model_instance = model_manager.get_default_model_instance(
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tenant_id=tenant_id,
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tenant_id=app_model.tenant_id,
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model_type=ModelType.SPEECH2TEXT
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)
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if model_instance is None:
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@@ -49,17 +64,42 @@ class AudioService:
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return {"text": model_instance.invoke_speech2text(file=buffer, user=end_user)}
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@classmethod
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def transcript_tts(cls, tenant_id: str, text: str, voice: str, streaming: bool, end_user: Optional[str] = None):
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def transcript_tts(cls, app_model: App, text: str, streaming: bool,
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voice: Optional[str] = None, end_user: Optional[str] = None):
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if app_model.mode in [AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value]:
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workflow = app_model.workflow
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if workflow is None:
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raise ValueError("TTS is not enabled")
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features_dict = workflow.features_dict
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if 'text_to_speech' not in features_dict or not features_dict['text_to_speech'].get('enabled'):
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raise ValueError("TTS is not enabled")
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voice = features_dict['text_to_speech'].get('voice') if voice is None else voice
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else:
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text_to_speech_dict = app_model.app_model_config.text_to_speech_dict
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if not text_to_speech_dict.get('enabled'):
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raise ValueError("TTS is not enabled")
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voice = text_to_speech_dict.get('voice') if voice is None else voice
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model_manager = ModelManager()
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model_instance = model_manager.get_default_model_instance(
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tenant_id=tenant_id,
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tenant_id=app_model.tenant_id,
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model_type=ModelType.TTS
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)
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if model_instance is None:
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raise ProviderNotSupportTextToSpeechServiceError()
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try:
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return model_instance.invoke_tts(content_text=text.strip(), user=end_user, streaming=streaming, tenant_id=tenant_id, voice=voice)
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return model_instance.invoke_tts(
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content_text=text.strip(),
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user=end_user,
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streaming=streaming,
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tenant_id=app_model.tenant_id,
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voice=voice
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)
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except Exception as e:
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raise e
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